Popular GitHub Repositories for Sagemaker Deployment

This is a short example showing how to utilize Amazon SageMaker's real time endpoints with OpenAI's open source Whisper model for audio transcription.

Deploy Stable Diffusion Model on Amazon SageMaker Endpont

MLOps on AWS using Amazon SageMaker Pipelines

This project promulgates an automated end-to-end ML pipeline that trains a biLSTM network for sentiment analysis, experiment tracking, benchmarking by model testing and evaluation, model transitioning to production followed by deployment into cloud instance via CI/CD

This GitHub repository showcases the implementation of a comprehensive end-to-end MLOps pipeline using Amazon SageMaker pipelines to deploy and manage 100x machine learning models. The pipeline covers data pre-processing, model training/re-training, hyperparameter tuning, data quality check,model quality check, model registry, and model deployment.

In this workshop, we demonstrate how to choose the right container and right instance types, optimize container parameters, and set up the right autoscaling policies and how to use APIs to get recommendations with Amazon SageMaker

Machine Learning on AWS using various methods/examples

Proof of concept (POC) for a domain expert model: This model will be trained on a dataset of domain-specific knowledge in finance.

This repo hosts a proof-of-concept (poc) development for a domain expert model using the aws sagemaker meta llama 2 7B foundation model.

This project focuses on building end-to-end machine learning pipeline using AWS SageMaker to predict the price range of mobile phones based on their specifications, enhancing consumer decision-making and streamlining the development process.

we Trying to predict credit card transaction if it's fraud or not, using AWS sagemaker, linear learner. the project was created throw AWS training with the help of a machine learning specialist from AWS